OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

STOCHASTIC POLYNOMIAL CHAOS EXPANSIONS TO EMULATE STOCHASTIC SIMULATORS
Xujia Zhu, Bruno Sudret
International Journal for Uncertainty Quantification (2022) Vol. 13, Iss. 2, pp. 31-52
Open Access | Times Cited: 14

Showing 14 citing articles:

A spectral surrogate model for stochastic simulators computed from trajectory samples
Nora Lüthen, Stefano Marelli, Bruno Sudret
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 406, pp. 115875-115875
Open Access | Times Cited: 18

Seismic fragility analysis using stochastic polynomial chaos expansions
Xujia Zhu, Marco Broccardo, Bruno Sudret
Probabilistic Engineering Mechanics (2023) Vol. 72, pp. 103413-103413
Open Access | Times Cited: 16

Stochastic emulation with enhanced partial‐ and no‐replication strategies for seismic response distribution estimation
Sang‐ri Yi, Alexandros A. Taflanidis
Earthquake Engineering & Structural Dynamics (2024) Vol. 53, Iss. 7, pp. 2354-2381
Open Access | Times Cited: 5

Polynomial Chaos Surrogate Construction for Random Fields with Parametric Uncertainty
Joy N. Mueller, Khachik Sargsyan, Craig Daniels, et al.
SIAM/ASA Journal on Uncertainty Quantification (2025) Vol. 13, Iss. 1, pp. 1-29
Open Access

Efficient, scalable emulation of stochastic simulators: A mixture density network based surrogate modeling framework
Peng Han, Jize Zhang
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110806-110806
Closed Access

High-Dimensional Bayesian inference for model updating with neural likelihood approximator powered by dimensionality-reducing flow-based generative model
Jice Zeng, Wang‐Ji Yan
Mechanical Systems and Signal Processing (2025) Vol. 231, pp. 112688-112688
Closed Access

Approximate Bayesian Computation for structural identification of ancient tie-rods using noisy modal data
Silvia Monchetti, Chiara Pepi, Cecilia Viscardi, et al.
Probabilistic Engineering Mechanics (2024) Vol. 77, pp. 103674-103674
Open Access | Times Cited: 3

Multi-output stochastic emulation with applications to seismic response correlation estimation
Sang‐ri Yi, Alexandros A. Taflanidis
Structural Safety (2025), pp. 102578-102578
Open Access

Mechanical state estimation with a Polynomial-Chaos-Based Statistical Finite Element Method
Vahab B. Narouie, Henning Wessels, Fehmi Cirak, et al.
Computer Methods in Applied Mechanics and Engineering (2025) Vol. 441, pp. 117970-117970
Closed Access

Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models
Bryan Reuter, Gianluca Geraci, Timothy Wildey
International Journal for Uncertainty Quantification (2024) Vol. 14, Iss. 5, pp. 1-30
Closed Access | Times Cited: 1

Approximate Bayesian Computation for Structural Identification of Ancient Tie-Rods Using Noisy Modal Data
Chiara Pepi, Silvia Monchetti, Cecilia Viscardi, et al.
(2024)
Closed Access

A bi-fidelity surrogate model for extreme loads on offshore structures
Phong T. T. Nguyen, Lance Manuel
Ocean Engineering (2024) Vol. 307, pp. 118175-118175
Closed Access

Reliability analysis for data-driven noisy models using active learning
Anderson V. Pires, Maliki Moustapha, Stefano Marelli, et al.
Structural Safety (2024), pp. 102543-102543
Open Access

Performing global sensitivity analysis on simulations of a continuous-time Markov chain model motivated by epidemiology
Henri Mermoz Kouye, Gildas Mazo, Clémentine Prieur, et al.
Computational and Applied Mathematics (2024) Vol. 43, Iss. 7
Open Access

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